Emotion recognition in text is an important natural language processing (NLP) task whose
solution can benefit several applications in different fields, including data mining, e-learning …

In this paper, a novel dual-channel system for multi-class text emotion recognition has been
proposed, and a novel technique to explain its training & predictions has been developed …

Along with the growth of Internet with its numerous potential applications and diverse fields,
artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular …

A video multimodal emotion recognition method based on Bi-GRU and attention fusion is
proposed in this paper. Bidirectional gated recurrent unit (Bi-GRU) is applied to improve the …

Advanced Web technologies used in this era, created huge amount of data provided to the
internet operators Social Networking sites such as Facebook, Google, Twitter are platforms …

In this study, we present a multimodal emotion recognition architecture that uses both
feature-level attention (sequential co-attention) and modality attention (weighted modality …

Emotion recognition is a crucial aspect of human–computer interaction, particularly in the
field of marketing and advertising. Call centers play a vital role in generating positive client …

Endowing a chatbot with the capability of specific emotion expression will significantly
improve both chatbot's usability and users' satisfaction. Recently, many studies on open …

Emotion detection from social media data plays a crucial role in studying societal emotions
concerning different events, aiding in predicting the reactions of specific social groups …

Emotion detection and recognition from text is a recent field of research that is closely
related to Sentiment analysis. Many people express themselves using text, photographs …